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PRJNA1156595 SRP530426

Faecal metagenomics for GI pathogen detection, Brisbane

Metagenomics: a new frontier for routine pathology testing of gastrointestinal pathogens

330 faecal samples from patients with gastrointestinal infection or diarrhoea, collected in Brisbane, Australia, in a cross-sectional study comparing metagenomic sequencing with PCR and culture-based pathogen detection. machine-written summary

330 samples · 330 runs · AU · Age unknown · 2025 · 4.71 Gbp / sample

Sources
✓Sequence archive 1,980✓Abstract / description 660○Full text○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive1,980 sample values (collection date, country, latitude, location locality, location region, longitude)
✓ Abstract / description660 sample values (health condition, health condition detail)
○ Full textread; no usable statement or table · PMC11742996, PMC12231603
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 sampling locations · 1 country
Age
unknown330
Condition
gi_infection_or_diarrhoea330
Country
AU330
Body site
primary330
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 1 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 2 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 5 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 8 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 17 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 297 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 4.71 Gbp per sample0130Gbp
Community composition
Bacteroides 13.2%Escherichia 11.3%Phocaeicola 6.8%Enterococcus_B 4.9%Faecalibacterium 4.3%Prevotella 4.0%Alistipes 3.3%Bifidobacterium 3.3%Streptococcus 2.5%Blautia_A 1.8%Akkermansia 1.8%Parabacteroides 1.7%not assigned to a genus 5.4%other genera 35.8%

Genera, mean relative abundance over 295 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country330 100%330
health_condition330 100%330
subject_id0 0%
collection_date330 100%330
detailed_location330 100%
health_condition_detail330 100%330
latitude330 100%330
location_locality330 100%330
location_region330 100%330
longitude330 100%330
Papers (2)
  • Metagenomics: a new frontier for routine pathology testing of gastrointestinal pathogens. 2025 PMID 39827146 PMC11742996 own_data
  • Advancing metagenomic classification with NABAS+: a novel alignment-based approach. 2025 PMID 40630933 PMC12231603 own_data
Details
Archive description

BACKGROUND. Accurate and comprehensive identification of enteropathogens, causing infectious gastroenteritis, is essential for optimal patient treatment and effective isolation processes in health care systems. Traditional diagnostic techniques are well established and optimised in low-cost formats. However, thorough testing for a wider range of causal agents is time consuming and remains limited to a subset of pathogenic organisms. Metagenomic next-generation sequencing (mNGS) allows the identification of all pathogens in a sample in a single test, without a reliance on culture or introduction of target selection bias. This study aims to determine the ability to routinely apply mNGS testing, in comparison to traditional culture or polymerase chain reaction (PCR) based tests, for the identification of causal pathogens for gastrointestinal infections. RESULTS. The performance of mNGS, PCR and microscopy, culture and sensitivity (MCS) assays was established using 2,619 prospectively collected faecal samples from patients with symptomology indicative of infectious gastroenteritiss. Commonly experienced pathogens including Aeromonas spp, Campylobacter spp, Salmonella spp and Giardia spp, in single and co-infected patients, were used to establish test outcomes. When testing for these organisms, using the combined result from either or both PCR and MCS testing as the comparator, the mNGS assay had clinically acceptable sensitivity (89.2 - 100%). Further, the mNGS assay detected 14 additional enteropathogens, that were either not detected or not tested, by initial PCR/MCS testing. CONCLUSIONS. The advantage of mNGS compared to other syndromic testing systems is the broad range of detectable targets and the ability to interrogate samples without clinician informed or assay specific bias. With the development of newer sequencing assays, it is now feasible to test for a wide range of target organisms in a sample using a single mNGS test. Overall, the mNGS based approach enabled pathogen detection that was comparable to conventional diagnostics and was shown to have the potential to be extended for the detection of many pathogens and genes of clinical interest. In conclusion, the mNGS assay offers an easy, sample to answer workflow with rapid detection of enteropathogens and has the potential to improve diagnosis, therapy and infection control precautions.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.70. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site study.description · “faecal samples from patients”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN43495243collection_date2019-07/2020-07R10.90biosample.attribute:collection_date2019-07/2020-07
SAMN43495243countryAUR10.90sample.attr.geo_loc_nameAustralia: Brisbane
SAMN43495243health_conditiongi_infection_or_diarrhoeaR40.50study.descriptionpatients with symptomology indicative of infectious gastroenteritiss
SAMN43495243health_condition_detailinfectious gastroenteritis with symptomologyR40.50study.descriptionpatients with symptomology indicative of infectious gastroenteritiss
SAMN43495243latitude-27.4705R10.90biosample.attribute:lat_lon27.4705 S 153.0260 E
SAMN43495243location_localityBrisbaneR10.85biosample.attribute:geo_loc_nameAustralia: Brisbane
SAMN43495243location_regionQueenslandR10.60biosample.attribute:lat_lon27.4705 S 153.0260 E
SAMN43495243longitude153.0260R10.90biosample.attribute:lat_lon27.4705 S 153.0260 E
Sequencing

330 runs over 330 samples · mean 4.25 Gbp per run (median 4.71 Gbp, total 1,404.03 Gbp; 330 runs with a base count) · layout PAIRED 330 · platform ILLUMINA 330 · models Illumina NovaSeq 6000 (330) · 89% of runs with a Sandpiper profile · first public 2025-02-07 – 2025-02-23

Authors (18)

Angel NZ first · Sullivan MJ · Alsheikh-Hussain A · Fang L · MacDonald S · Pribyl A · Wills B · Tyson GW · Hugenholtz P · Parks DH · Griffin P · Wood DLA last · Takács B first · Jaksa G · Qorri E · Gyuris Z · Pintér L · Haracska L last

Help complete this project

2 of the 4 core fields are below 50% coverage: age_category, subject_id. Share metadata

Downloads

PRJNA1156595.csv.gz (7.1 KB) · parquet (80.6 KB) — all 330 samples, every field with route and confidence · PRJNA1156595_determinations.csv.gz (14.3 KB) — 2,640 evidence rows

Samples (330 · every field this project has values for · hover a cell for its source)
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